Video monitoring involving embedding a video characteristic in audio of a video/audio signal

a video and audio technology, applied in the field of video monitoring involving embedding a video characteristic in the audio of a video/audio signal, can solve the problems of video quality assessment, degradation of coded/transmitted video, and few practical methods and objective metrics to measure video quality

Inactive Publication Date: 2010-02-04
UNIV OF SOUTHERN CALIFORNIA +1
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0011]A novel monitoring method provides a reliable way to monitor the quality of video and audio, while at the same time not demanding substantially more data to be broadcast. In one example of the novel monitoring method, a first video characteristic of a video / audio signal is determined. The term “video / audio signal” as the term is used here generally refers to a signal including both a picture signal (video signal) and an associated sound signal (audio signal). The video / audio signal can be either a raw signal or may involve compressed video / audio information.

Problems solved by technology

Video quality assessment is currently one of the most challenging problems in the broadcasting industry.
No matter what the format of the coded video or the medium of transmission, there are always sources that cause degradation in the coded / transmitted video.
Almost all of the current major broadcasters are concerned with the notion of “How good will our video look at the receiver?” Currently, there are very few practical methods and objective metrics to measure video quality.
Also, most current metrics / methods are not feasible for real-time video quality assessment due to their high computational complexity.
Whenever a digital video is coded and transmitted, it undergoes some form of degradation.
This degradation may be in many forms, for example, blocking artifacts, packet loss, black-outs, lip-synch errors, synchronization loss, etc.
Unfortunately, most of the quality assessment metrics currently available rely on having some form of the original video source available at the receiver.
This significantly increases the bandwidth requirements of the transmitted video, making these methods impractical for real-time systems (e.g. broadcasting).
However, the measurement accuracy is low, and the complexity of the blind detection algorithm is high.
Due to composite processing involving compression, format conversion, resolution changes, brightness changes, filtering, etc., the embedded watermark can be easily destroyed such that it cannot then be decoded at the receiver.
This may result in either a security / copyright breach and / or distortion in the decoded video.
Also, it is often difficult to embed imperceptible watermarks in high quality videos.
Therefore, the embedding strength of video watermarking is limited by imperceptibility.
In this situation, hybrid channel distortion makes it difficult for watermarks to survive in video.
However, an error sometimes occurs during the transmission of video signals from various causes.
When an error occurs, problems, such as a video freeze, a blackout, noise, audio mute, etc., may result, and thus it becomes necessary to take countermeasures.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video monitoring involving embedding a video characteristic in audio of a video/audio signal
  • Video monitoring involving embedding a video characteristic in audio of a video/audio signal
  • Video monitoring involving embedding a video characteristic in audio of a video/audio signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024]In one example of a monitoring method, a first video characteristic, hereinafter referred to as the first VDNA, is extracted at an encoder / transmitter from a video frame of a video / audio signal. This first VDNA is then embedded in an audio signal portion of the video / audio signal. The audio signal portion corresponds to the video frame. The group of audio samples corresponding to the same video frame is referred to here as an “audio frame”.

[0025]At the receiver, the embedded first VDNA is extracted from the audio signal portion of the received video / audio signal. A second VDNA is computed from the received video frame. The same algorithm may be used to determine the second VDNA from the received video frame as was used to determine the first VDNA from the original video frame prior to transmission. The first and second VDNAs are then compared to each other. Depending on the type of application, different decisions can be made if the VDNAs and VDNA parameters do not match. For ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A first video characteristic value is determined from a video / audio signal. The first video characteristic value is embedded in an audio portion of the video / audio signal and the video / audio signal is transmitted from a transmission source to a transmission destination. At the destination, the first video characteristic value is recovered and the received video / audio signal is used to determine a second video characteristic value. The recovered first video characteristic value is used to verify or check the second video characteristic value. By comparing the first and second video characteristic values, a determination is made about degradation of the received video / audio signal. In one example, a determination is made as to whether a lip-sync error has likely occurred. In another example, the audio-transmitted first video characteristic is used for copyright protection purposes.

Description

TECHNICAL FIELD[0001]The present invention relates to monitoring of digital video / audio signals.BACKGROUND INFORMATION[0002]Video quality assessment is currently one of the most challenging problems in the broadcasting industry. No matter what the format of the coded video or the medium of transmission, there are always sources that cause degradation in the coded / transmitted video. Almost all of the current major broadcasters are concerned with the notion of “How good will our video look at the receiver?” Currently, there are very few practical methods and objective metrics to measure video quality. Also, most current metrics / methods are not feasible for real-time video quality assessment due to their high computational complexity.[0003]Watermarking is a technique whereby information is transmitted from a transmitter to a receiver in such a way that the information is hidden in an amount of digital media. A major goal of watermarking is to enhance security and copyright protection f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(United States)
IPC IPC(8): H04N17/00
CPCH04N7/08H04N17/004H04N21/4305G06T1/0028H04N7/04H04H20/31H04H60/58H04H2201/50G06T2201/0202
Inventor HAMADA, TAKAHIROSABIR, MUHAMMAD FAROOQKUO, CHUNG CHIEHCHA, BYUNG-HO
Owner UNIV OF SOUTHERN CALIFORNIA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products